R. Trillo, J. Gracia, M. Espinoza, and E. Mena, Discovering the semantics of user keywords, Journal of Universal Computer Science JUCS, issue.12, pp.131908-1935, 2007.

N. Hernandez and J. Mothe, An Approach to Evaluate Existing Ontologies for Indexing a Document Corpus, Artificial Intelligence: Methodology, Systems, and Applications, pp.11-21, 2004.
DOI : 10.1007/978-3-540-30106-6_2

A. G. Chifu, F. Hristea, J. Mothe, and M. Popescu, Word sense discrimination in information retrieval: A spectral clustering-based approach, Information Processing & Management, vol.51, issue.2, pp.16-31, 2015.
DOI : 10.1016/j.ipm.2014.10.007

URL : https://hal.archives-ouvertes.fr/hal-01153775

K. and S. Jones, A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL, Journal of Documentation, vol.28, issue.1, pp.11-21, 1972.
DOI : 10.1002/asi.5090180209

P. Boldi, F. Bonchi, C. Castillo, and S. Vigna, Query reformulation mining: models, patterns, and applications, Information Retrieval, vol.35, issue.3, pp.257-289, 2011.
DOI : 10.1109/2.989940

A. Hassan, X. Shi, N. Craswell, and B. Ramsey, Beyond clicks, Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, CIKM '13, pp.2019-2028, 2013.
DOI : 10.1145/2505515.2505682

C. Carpineto and G. Romano, A Survey of Automatic Query Expansion in Information Retrieval, ACM Computing Surveys, vol.44, issue.1, 2012.
DOI : 10.1145/2071389.2071390

L. Ermakova, J. Mothe, and E. Nikitina, Proximity Relevance Model for Query Expansion (regular paper), ACM Symposium on Applied Computing, p.2016, 2016.
DOI : 10.1145/2851613.2851696

J. Compaoré, S. Déjean, A. M. Gueye, J. Mothe, and J. Randriamparany, Mining information retrieval results: Significant IR parameters Advances in Information Mining and Management, 2011.

L. Ermakova, J. Mothe, and I. Ovchinnikova, Query expansion in information retrieval: What can we learn from a deep analysis of queries, International Conference on Computational Linguistics- Dialogue 2014, p.162, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01142602

M. Yuen, I. King, and K. Leung, A Survey of Crowdsourcing Systems, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing, pp.766-773, 2011.
DOI : 10.1109/PASSAT/SocialCom.2011.203

C. Eickhoff, C. G. Harris, A. P. De-vries, and P. Srinivasan, Quality through flow and immersion, Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, SIGIR '12, pp.871-880, 2012.
DOI : 10.1145/2348283.2348400

S. Nowak and S. Rüger, How reliable are annotations via crowdsourcing, Proceedings of the international conference on Multimedia information retrieval, MIR '10, pp.557-566, 2010.
DOI : 10.1145/1743384.1743478

URL : http://oro.open.ac.uk/25874/1/mir354s-nowak.pdf

G. K. Lumi, F. Hopfgartner, U. Kruschwitz, and M. Meder, Ecir 2015 workshop on gamification for information retrieval (gamifir'15), ACM SIGIR Forum, pp.41-49, 2015.

O. Alonso and S. Mizzaro, Using crowdsourcing for TREC relevance assessment, Information Processing & Management, vol.48, issue.6, pp.1053-1066, 2012.
DOI : 10.1016/j.ipm.2012.01.004

L. and V. Ahn, Games with a Purpose, Computer, vol.39, issue.6, pp.92-94, 2006.
DOI : 10.1109/MC.2006.196

M. Lafourcade, Making people play for Lexical Acquisition with the JeuxDeMots prototype, SNLP'07: 7th international symposium on natural language processing, 2007.
URL : https://hal.archives-ouvertes.fr/lirmm-00200883

K. Salen and E. Zimmerman, Rules of play: Game design fundamentals, 2004.

J. Schell20-]-v, W. B. Lavrenko, and . Croft, The Art of Game Design: A book of lenses Relevance based language models, Proceedings of the 24th international ACM SIGIR conference on Research and development in information retrieval, pp.120-127, 2001.

N. Abdul-jaleel, J. Allan, W. B. Croft, F. Diaz, L. S. Larkey et al., UMass at TREC 2004: Novelty and HARD, TREC, volume Special Publication 500-261. National Institute of Standards and Technology (NIST), 2004.
DOI : 10.21236/ADA460118

URL : https://works.bepress.com/james_allan/9/download/

T. Sakai, T. Manabe, and M. Koyama, Flexible pseudo-relevance feedback via selective sampling, ACM Transactions on Asian Language Information Processing, vol.4, issue.2, pp.111-135, 2005.
DOI : 10.1145/1105696.1105699

S. Mizzaro and J. Mothe, Why do you think this query is difficult? A user study on human query prediction, Proceedings of the 39th international ACM SIGIR conference on Research and development in information retrieval, pp.1073-1076, 2016.

S. Monchaux, F. Amadieu, A. Chevalier, and C. Mariné, Query strategies during information searching: Effect of prior domain knowledge and complexity of the information problems to be solved, Information Processing and Management, pp.557-569, 2015.